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Revenue-based financing team or its scoring agent

Pre-screen a site for a financing pipeline

A machine-readable pre-screening record per domain: observed revenue, scale, growth and what the record does not cover.

You: Return the pre-screening record for tally.so in our underwriting pipeline's JSON format.

Megido lookup_domain1 found
Agent: 
{"domain": "tally.so", "found": true, "observed_payment": true, "payment_service_recorded": "chargebee.com",
 "other_domains": [], "site_type": "product", "scale_band": "1M+", "growth_band": "flat", "main_country": "US",
 "not_covered": ["revenue_volume", "payment_amounts", "business_age", "traffic_history"],
 "caveats": ["a miss does not mean the applicant does not sell", "for sourcing and screening, not for a credit decision"]}
Real data from the corpus, as of June 2026. Growth compares the latest month with the one before.

How your agent answers

  1. lookup_domain checked the domain and returned the fields of the record.

Where it stops. This is for sourcing and screening, not for a credit decision. There is no revenue volume, payment amounts, business age or traffic history.

Ask your agent

Return the pre-screening record for [domain 1] and [domain 2] in our underwriting pipeline's JSON format.

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Ask your agent today

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In Claude Code, add the server, then run /mcp and choose to authenticate:

claude mcp add --transport http megido https://api.megido.io/mcp

Claude, ChatGPT, Cursor, VS Code and other apps, by signing in or with an API key: step by step.